SLG MACD Edge v2.5

SLG MACD Edge v2 Strategy Description
1. Trend Filtering

The strategy uses EMA (Exponential Moving Average) to identify the market’s primary trend:

Long Signal: When the current price is above the EMA, indicating an uptrend, the strategy considers taking a long position.

Short Signal: When the current price is below the EMA, indicating a downtrend, the strategy considers taking a short position.

2. MACD Signal

The strategy uses MACD (Moving Average Convergence Divergence) to gauge market momentum:

Long Signal: When the MACD line crosses above the signal line (i.e., MACD crossover), a long signal is generated.

Short Signal: When the MACD line crosses below the signal line, a short signal is generated.

3. ATR (Average True Range) Stop Loss and Take Profit

ATR is used to dynamically calculate stop loss and take profit levels:

Stop Loss: The stop loss is set based on the current ATR, with an added multiplier of the volatility range, either above the lowest low (for long) or the highest high (for short).

Take Profit: Similarly, the take profit is based on ATR, with an added multiplier, either above the highest high (for long) or the lowest low (for short).

4. Trade Logic

Entry: The strategy enters a trade when both the trend filter (EMA) and the MACD signal are met.

Exit: The trade is closed based on the defined stop loss and take profit levels.

5. Simple Rules

Single Position: The strategy only opens one position at a time (either long or short), without adding to the position or using multiple exit levels.

Clear and straightforward signals, making it suitable for trend-following strategies.

Important Note

Signal strategy is for reference only.
The signals provided by this strategy should be considered as part of a broader trading plan. Always conduct further analysis and exercise caution before entering trades.

Summary

This strategy is a trend-following approach that uses MACD and EMA to filter market signals and ATR to dynamically set stop losses and take profits. It aims to control risk efficiently in varying market conditions.